mattratleph

vimdiff cheat sheet

##git mergetool

In the middle file (future merged file), you can navigate between conflicts with ]c and [c.

Choose which version you want to keep with :diffget //2 or :diffget //3 (the //2 and //3 are unique identifiers for the target/master copy and the merge/branch copy file names).

:diffupdate (to remove leftover spacing issues)

:only (once you’re done reviewing all conflicts, this shows only the middle/merged file)

wrburgess

Objective: Skip the delivery step in the Checkout state machine and bring back the ability to add a default shipping method and tax calculation

Approach: Add decorators to the Checkout controller and the Order model (see attached files)

Note: This approach might be better managed by overriding the self.define_state_machine! method of the Checkout model located at app/models/spree/order/checkout.rb. However, this model is rather unstable in the Spree upgrade path and overriding the above classes seems to be simpler to adjust.

eprothro

Overview

Getting clients, managers, project managers, designers, and developers on the same page when it comes to feature expectations is hard. Everyone speaking the same language (literally) can go a long way to achieving the same, metaphorically.

There are three common formats that are great for written and verbal communication between stakeholders with different backgrounds, responsibilities, and risk exposures. They are each natural-language, narrative formats (they use plain english) that anyone can understand, but their structrued nature is proven to help clearly communicate behavior, specify intent and synchronize expectations.

Connextra user stories

• Great for high level feature description
• Typically bad for detailed behavior description

chischaschos

require 'spec_helper'

SP = ->(graph, from_node, to_node, nodes = Hash.new(0), visited = [], i = 0) {
  return nodes[from_node] if from_node == to_node

  neighbours = graph[from_node].reject {|k, v| visited.include?(k) }

  neighbours.each do |k, v|
    if nodes[k] == 0 || nodes[from_node] + v < nodes[k]
      nodes[k] = nodes[from_node] + v

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

JoshCheek

# Have to hijack the global environment, b/c that's how invasive it is!
def self.wtf
  to_return = {exception: nil, stdout: nil, stderr: nil}
  require 'stringio'
  $stdout = StringIO.new
  $stderr = StringIO.new
  to_return[:returned] = yield
rescue Exception
  to_return[:exception] = $!
ensure

loceee

#!/usr/bin/python
"""Identify or remove files known to be involved in Adware/Malware
infection.

Most of the code applies to building a list of malware files. Thus,
both extension attribute and removal handling are included.

Cleans files as a Casper script policy; thus, it expects four total
arguments, the first three of which it doesn't use, followed by
--remove

zlargon

#!/bin/bash
echo "Remove unwanted adware that displays pop-up ads and graphics on your Mac"
echo "https://support.apple.com/en-us/HT203987"
echo ""

# 1. Downlite, VSearch, Conduit, Trovi, MyBrand, Search Protect, Buca Apps
echo "1. Remove Downlite, VSearch, Conduit, Trovi, MyBrand, Search Protect, Buca Apps"
echo ""
malware[0]="/System/Library/Frameworks/v.framework"
malware[1]="/System/Library/Frameworks/VSearch.framework"

benlinton

Multiple MySQL Versions for Development

Options included below:

• Using Docker docker-compose
• Using Homebrew brew

Using Docker (recommended)

This gist was originally created for Homebrew before the rise of Docker, yet it may be best to avoid installing mysql via brew any longer. Instead consider adding a barebones docker-compose.yml for each project and run docker-compose up to start each project's mysql service.

yang-wei

Should be work with 0.18

Destructuring(or pattern matching) is a way used to extract data from a data structure(tuple, list, record) that mirros the construction. Compare to other languages, Elm support much less destructuring but let's see what it got !

Tuple

myTuple = ("A", "B", "C")
myNestedTuple = ("A", "B", "C", ("X", "Y", "Z"))